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- W4284994759 abstract "Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Geophysical Research Letters. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Deep Learning Model for Sea Surface Salinity Forecast in the Tropical Pacific Ocean during ENSO EventsAuthorsHaoChenXiaobinYiniDXiaofengLiQingXuYanLiSee all authors Hao ChenCollege of Marine Technology, Faculty of Information Science and Engineering, Ocean University of Chinaview email addressThe email was not providedcopy email addressXiaobin YiniDCorresponding Author• Submitting AuthorOcean University of ChinaiDhttps://orcid.org/0000-0002-8192-5886view email addressThe email was not providedcopy email addressXiaofeng LiInstitute of Oceanology, Chinese Academy of Sciencesview email addressThe email was not providedcopy email addressQing XuCollege of Marine Technology, Ocean University of Chinaview email addressThe email was not providedcopy email addressYan LiCollege of Marine Technology, Faculty of Information Science and Engineering, Ocean University of Chinaview email addressThe email was not providedcopy email address" @default.
- W4284994759 created "2022-07-11" @default.
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- W4284994759 date "2022-07-09" @default.
- W4284994759 modified "2023-09-26" @default.
- W4284994759 title "Deep Learning Model for Sea Surface Salinity Forecast in the Tropical Pacific Ocean during ENSO Events" @default.
- W4284994759 doi "https://doi.org/10.1002/essoar.10511842.1" @default.
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